- Walking Wales: the visualisation challenge
- Word Clouds: Can they be misleading?
- VIPS-Visual Interactive Parameter Steering
- Confirmation bias : do multiple views really help?
- Visual Query Interface for Infrastructure Networks
- MADucator – Matrix Educator
- Concensus Matrix Sort
- Multiscale Multiples: An Overview+Detail Interface for Small Multiples
- Analyzing Image Similarity to Detect Disguised Plagiarism
- Tackling the Multi-Analyst Problem in Soccer: How to Improve Collaborative Pattern Detection in Team Sports
- MDSQ – Quality Assessment of Distance-Preserving Projections
- Internal Quality Measures for Subspace Clusterings
- Exploration of Datasets for Visualizations of High-Dimensional Data
- Search and Visual Exploration of Scientific Literature
- Star Glyph – Optimal Dimension Layout
- Visual Analytics of Molecular Neurochemicals and Biological Markers in Mental Illness
- Ensembles of classifiers: Visual construction of classification models
- Cutting-Down the Complexity of Parallel Coordinates Plots in High-Dimensional Data
- Investigating Analytic Behavior in VA
- Hierarchical Matrix Visualization
- Realisierung und Evaluierung einer stereoskopischen 3D Perspective Wall Umgebung für verlinkte Informationsvisualisierung (Master)
- Combination of Matrices + Graphs
- TreeMap Evaluation
- Visual Analysis of Language Change over Time
- Visual Parameter Space Analysis of Topic Models
A person is subject to a confirmation bias error when they are so convinced that the decision they have made is correct that they do not search for, or take notice of, any information that opposes this.
There is a wealth of studies which demonstrate that in certain circumstances, decision making under uncertainty can result in cognitive biases and irrational decisions . Confirmation bias is one of these biases which has received considerable attention as it can have have serious implications to decision makers. However, mitigating the effects of the bias has proved to be generally unsuccessful. Providing the person with lots of information in a visual form, especially as multiple views, may be helpful, but empirical evidence is sparse. One contrasting idea is that providing many views of the data may in fact, reinforce the confirmation bias, by giving the person the ‘answer’ they were looking for!
Become familiar with cognitive biases (reading Kahneman’s book would be a good start). Design and conduct user experiments to investigate whether providing the user with access to multiple views of the data (i.e. different visualisations) does reduce the users susceptibility to cognitive bias errors.
Good programming skills and preferably experience of designing and/or
Research into cognitive bias in the context of visualisation is relatively new and mitigation of their unwanted effects is in its infancy. Hence there is potential for extending this project to a Masters project.
D. Kahneman. (2011). Thinking, fast and slow. Macmillan, 2011.
[Geoff Ellis] (E-Mail)